草地学报 ›› 2015, Vol. 23 ›› Issue (3): 632-639.DOI: 10.11733/j.issn.1007-0435.2015.03.028

• 技术研发 • 上一篇    下一篇

应用灰色关联度分析法评价叶面肥对‘龙牧801’再生草生产性能的影响

张晗1, 张风承2, 张丞宇1, 李冰1, 崔国文1   

  1. 1. 东北农业大学动物科学技术学院, 黑龙江 哈尔滨 150030;
    2. 黑龙江省蚕业研究所, 黑龙江 哈尔滨 150086
  • 收稿日期:2014-06-11 修回日期:2014-12-30 出版日期:2015-06-15 发布日期:2015-07-02
  • 通讯作者: 崔国文
  • 作者简介:张晗(1989-),女,黑龙江齐齐哈尔人,硕士研究生,研究方向牧草栽培与加工,E-mail:zhanghan20080921@126.com
  • 基金资助:

    公益性行业(农业)科研专项“青藏高原羊八井社区饲草增产增效关键技术”(201203007)资助

Evaluating the Effects of Foliar Fertilizers on the Production Performance of Regrowing Longmu 801 by Grey Correlative Analysis

ZHANG Han1, ZHANG Feng-cheng2, ZHANG Cheng-yu1, LI Bing1, CUI Guo-wen1   

  1. 1. Animal Science and Technology College of Northeast Agricultural University, Harbin, Heilongjiang Province 150030, China;
    2. Sericultural Research Institute of Heilongjiang Province, Harbin, Heilongjiang Province 150086, China
  • Received:2014-06-11 Revised:2014-12-30 Online:2015-06-15 Published:2015-07-02

摘要:

为研究不同叶面肥对苜蓿(Medicago)再生草生产性能的影响,以苜蓿‘龙牧801’(Longmu 801)为研究材料,对其第2茬再生草喷施不同浓度配比的钼酸铵、硫酸亚铁和尿素,并进行常规营养含量的灰色关联度分析。结果表明:在0.1%的硫酸亚铁与0.05%的钼酸铵配合施用时,关联度综合排名最高,在此浓度组合下苜蓿具有最佳生产性能;在尿素为0.3%的水平下,所有处理中只喷施尿素组关联度排名最高,表明硫酸亚铁和钼酸铵对苜蓿营养产量的作用受到了尿素的影响。

关键词: 苜蓿, 叶面肥, 生产性能, 灰色关联度分析

Abstract:

To study the effects of different foliar fertilizers on the production performance of regrowing alfalfa, the general nutritional contents of the second crop of regrowing alfalfa sprayed the (NH4)6Mo7O24, FeSO4 and CH4N2O of different rates were analyzed by Grey correlative analysis using alfalfa ‘Longmu 801’ as the test material. Results indicated that the correlation degrees of combining 0.1% FeSO4 with 0.05% (NH4)6Mo7O24 ranked the first, and alfalfa had the best productive performance. As the rate of CH4N2O was 0.3%, the correlation degrees of spraying only CH4N2O ranked the top of all the treatments. It indicated that the effects of spraying FeSO4 and (NH4)6Mo7O24 on alfalfa productive performance were influenced by CH4N2O.

Key words: Alfalfa, Foliar fertilizers, Production performance, Grey correlative analysis

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